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ON THE ESTIMATION OF FOREST RESOURCES USING 3D REMOTE SENSING TECHNIQUES AND POINT CLOUD DATA

机译:基于3D遥感技术和点云数据的森林资源估算

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摘要

In recent years, 3D capable remote sensing techniques have shown great potential in forest biomass estimation because of their ability to measure the forest canopy structure, tree height and density. The objective of the Dragon3 forest resources research project (ID 10667) and the supporting ESA young scientist project (ESA contract NO. 4000109483/13/I-BG) was to study the use of satellite based 3D techniques in forest tree height estimation, and consequently in forest biomass and biomass change estimation, by combining satellite data with terrestrial measurements. Results from airborne 3D techniques were also used in the project. Even though, forest tree height can be estimated from 3D satellite SAR data to some extent, there is need for field reference plots. For this reason, we have also been developing automated field plot measurement techniques based on Terrestrial Laser Scanning data, which can be used to train and calibrate satellite based estimation models. In this paper, results of canopy height models created from TerraSAR-X stereo and TanDEM-X INSAR data are shown as well as preliminary results from TLS field plot measurement system. Also, results from the airborne CASMSAR system to measure forest canopy height from P- and X-band INSAR are presented.
机译:近年来,具有3D功能的遥感技术由于具有测量森林冠层结构,树高和密度的能力,因此在森林生物量估计中显示出巨大潜力。 Dragon3森林资源研究项目(ID 10667)和支持ESA的年轻科学家项目(ESA合同号4000109483/13 / I-BG)的目的是研究基于卫星的3D技术在林木高度估计中的使用,以及因此,通过将卫星数据与地面测量相结合,可以估算森林生物量和生物量的变化。该项目还使用了机载3D技术的结果。即使可以在一定程度上根据3D卫星SAR数据估计林木高度,也需要野外参考图。因此,我们还基于地面激光扫描数据开发了自动场图测量技术,该技术可用于训练和校准基于卫星的估计模型。本文显示了从TerraSAR-X立体声和TanDEM-X INSAR数据创建的冠层高度模型的结果,以及TLS现场图测量系统的初步结果。此外,还介绍了机载CASMSAR系统从P波段和X波段INSAR测量森林冠层高度的结果。

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  • 会议地点 Wuhan(CN)
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    Finnish Geospatial Research Institute, Geodeetinrinne 2, 02340 Masala, FINLAND,Email:mika.karjalainen@nls.fi;

    Finnish Geospatial Research Institute, Geodeetinrinne 2, 02340 Masala, FINLAND,kirsi.karila@nls.fi;

    Finnish Geospatial Research Institute, Geodeetinrinne 2, 02340 Masala, FINLAND,xinlian.liang@nls.fi;

    Finnish Geospatial Research Institute, Geodeetinrinne 2, 02340 Masala, FINLAND,xiaowei.yu@nls.fi;

    Chinese Academy of Mapping Sciences, Lianhuachixi Road No. 28, Beijing 100830, CHINA, Email: huang.guoman@casm.ac.cn;

    Chinese Academy of Mapping Sciences, Lianhuachixi Road No. 28, Beijing 100830, CHINA, lulijun2002@gmail.com;

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